pytorch-semantic-segmentation and pytorch_tiramisu
About pytorch-semantic-segmentation
zijundeng/pytorch-semantic-segmentation
PyTorch for Semantic Segmentation
This project helps computer vision engineers and researchers to experiment with and apply various deep learning models for semantic segmentation. It takes an input image and outputs a pixel-level classification map, where each pixel is labeled with the category of the object it belongs to. This is ideal for those working on scene understanding, autonomous systems, or medical image analysis.
About pytorch_tiramisu
bfortuner/pytorch_tiramisu
FC-DenseNet in PyTorch for Semantic Segmentation
This project helps computer vision researchers and deep learning practitioners experiment with a high-performance image segmentation model. It takes an input image and outputs a pixel-level classification, effectively outlining different objects or regions within the image. It's designed for those working on advanced image analysis tasks.
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